📅 2025-10-15 — Session: Automated Downloads Cleanup and Data Analysis
🕒 18:30–19:50
🏷️ Labels: Automation, Data Analysis, Bash Scripting, Python, File Management
📂 Project: Dev
Session Goal
The session aimed to automate the cleanup of the Downloads folder and perform data analysis on CSV files using Python and Bash scripting.
Key Activities
- Developed a Bash script for auditing and cleaning the Downloads folder, organizing files, and removing clutter.
- Utilized Python’s Pandas library to load and analyze CSV files, generating statistics and insights on file types, extensions, and directory structures.
- Implemented a systemd service for weekly file triaging, automating the organization of files.
- Addressed execution issues with shell scripts on Ubuntu by correcting the shebang and permissions.
- Created a Python function for directory scanning with depth control and a Git project scanner for repository management.
Achievements
- Successfully automated the Downloads folder cleanup with a comprehensive Bash script, including a preview phase for safe execution.
- Analyzed CSV datasets using Pandas, providing detailed metadata and statistical insights.
- Enhanced Git repository scanning scripts to handle edge cases and improve operational efficiency.
Pending Tasks
- Further enhancement of the directory scanning function to optimize performance and handle larger datasets.
- Review and refine the automation scripts for broader application across different directories.